Journal of Computer Science

Implementation of Computer Aided Diagnosis System Based on Parallel Approach of Ant Based Medical Image Segmentation

Jayabalan Jaya and Keppanagowder Thanushkodi

DOI : 10.3844/jcssp.2011.291.297

Journal of Computer Science

Volume 7, Issue 2

Pages 291-297

Abstract

Problem statement: The aim of this study is to develop Computer Aided Diagnosis (CAD)
system for the detection of brain tumor by using parallel implementation of ACO system for medical
image segmentation applications due to the rapid execution for obtaining and extracting the Region of
Interest (ROI) from the images for diagnostic purposes in medical field. Approach: For ROI
segmentation, metaheuristic based Parallel Ant colony Optimization (PACO) approach has been
implemented. The system has been simulated in the Mat lab for the parallel processing, using the master
slave approach and information exchange. The scheme is tested up to 10 real time MRI brain images.
Here parallelism is inherent in program loops, which focused on performing searching operation in
parallel. Results: The computational results shows that parallel ACO systems uses the concept of the
parallelization approach enabled the utilization of the intensity similarity measurement technique because
of the capability of parallel processing. Conclusion: Medical image segmentation and detection at the
early stage played vital roles for many health-related applications such as medical diagnostics, drug
evaluation, medical research, training and teaching. Due to the rapid progress in the technologies for
segmenting digital images for diagnostic purposes in medical field parallel Ant based CAD system are
technologically feasible for Medical Domain which will certainly reduce the mortality rate.